Datasets:
Tasks:
Question Answering
Modalities:
Text
Formats:
csv
Languages:
Chinese
Size:
10K - 100K
License:
metadata
license: other
license_name: creative-commons-by-nc
task_categories:
- question-answering
language:
- zh
tags:
- traditional chinese
- finance
- medical
- taiwan
- benchmark
- zh-tw
- zh-hant
pretty_name: tmmlu++
size_categories:
- 100K<n<1M
configs:
- config_name: engineering_math
datafiles:
- split: train
path: data/engineering_math_dev.csv
- split: validation
path: data/engineering_math_val.csv
- split: test
path: data/engineering_math_test.csv
- config_name: dentistry
datafiles:
- split: train
path: data/dentistry_dev.csv
- split: validation
path: data/dentistry_val.csv
- split: test
path: data/dentistry_test.csv
- config_name: traditional_chinese_medicine_clinical_medicine
datafiles:
- split: train
path: data/traditional_chinese_medicine_clinical_medicine_dev.csv
- split: validation
path: data/traditional_chinese_medicine_clinical_medicine_val.csv
- split: test
path: data/traditional_chinese_medicine_clinical_medicine_test.csv
- config_name: clinical_psychology
datafiles:
- split: train
path: data/clinical_psychology_dev.csv
- split: validation
path: data/clinical_psychology_val.csv
- split: test
path: data/clinical_psychology_test.csv
- config_name: technical
datafiles:
- split: train
path: data/technical_dev.csv
- split: validation
path: data/technical_val.csv
- split: test
path: data/technical_test.csv
- config_name: culinary_skills
datafiles:
- split: train
path: data/culinary_skills_dev.csv
- split: validation
path: data/culinary_skills_val.csv
- split: test
path: data/culinary_skills_test.csv
- config_name: mechanical
datafiles:
- split: train
path: data/mechanical_dev.csv
- split: validation
path: data/mechanical_val.csv
- split: test
path: data/mechanical_test.csv
- config_name: logic_reasoning
datafiles:
- split: train
path: data/logic_reasoning_dev.csv
- split: validation
path: data/logic_reasoning_val.csv
- split: test
path: data/logic_reasoning_test.csv
- config_name: real_estate
datafiles:
- split: train
path: data/real_estate_dev.csv
- split: validation
path: data/real_estate_val.csv
- split: test
path: data/real_estate_test.csv
- config_name: general_principles_of_law
datafiles:
- split: train
path: data/general_principles_of_law_dev.csv
- split: validation
path: data/general_principles_of_law_val.csv
- split: test
path: data/general_principles_of_law_test.csv
- config_name: finance_banking
datafiles:
- split: train
path: data/finance_banking_dev.csv
- split: validation
path: data/finance_banking_val.csv
- split: test
path: data/finance_banking_test.csv
- config_name: anti_money_laundering
datafiles:
- split: train
path: data/anti_money_laundering_dev.csv
- split: validation
path: data/anti_money_laundering_val.csv
- split: test
path: data/anti_money_laundering_test.csv
- config_name: ttqav2
datafiles:
- split: train
path: data/ttqav2_dev.csv
- split: validation
path: data/ttqav2_val.csv
- split: test
path: data/ttqav2_test.csv
- config_name: marketing_management
datafiles:
- split: train
path: data/marketing_management_dev.csv
- split: validation
path: data/marketing_management_val.csv
- split: test
path: data/marketing_management_test.csv
- config_name: business_management
datafiles:
- split: train
path: data/business_management_dev.csv
- split: validation
path: data/business_management_val.csv
- split: test
path: data/business_management_test.csv
- config_name: organic_chemistry
datafiles:
- split: train
path: data/organic_chemistry_dev.csv
- split: validation
path: data/organic_chemistry_val.csv
- split: test
path: data/organic_chemistry_test.csv
- config_name: advance_chemistry
datafiles:
- split: train
path: data/advance_chemistry_dev.csv
- split: validation
path: data/advance_chemistry_val.csv
- split: test
path: data/advance_chemistry_test.csv
- config_name: physics
datafiles:
- split: train
path: data/physics_dev.csv
- split: validation
path: data/physics_val.csv
- split: test
path: data/physics_test.csv
- config_name: secondary_physics
datafiles:
- split: train
path: data/secondary_physics_dev.csv
- split: validation
path: data/secondary_physics_val.csv
- split: test
path: data/secondary_physics_test.csv
- config_name: human_behavior
datafiles:
- split: train
path: data/human_behavior_dev.csv
- split: validation
path: data/human_behavior_val.csv
- split: test
path: data/human_behavior_test.csv
- config_name: national_protection
datafiles:
- split: train
path: data/national_protection_dev.csv
- split: validation
path: data/national_protection_val.csv
- split: test
path: data/national_protection_test.csv
- config_name: jce_humanities
datafiles:
- split: train
path: data/jce_humanities_dev.csv
- split: validation
path: data/jce_humanities_val.csv
- split: test
path: data/jce_humanities_test.csv
- config_name: politic_science
datafiles:
- split: train
path: data/politic_science_dev.csv
- split: validation
path: data/politic_science_val.csv
- split: test
path: data/politic_science_test.csv
- config_name: agriculture
datafiles:
- split: train
path: data/agriculture_dev.csv
- split: validation
path: data/agriculture_val.csv
- split: test
path: data/agriculture_test.csv
- config_name: official_document_management
datafiles:
- split: train
path: data/official_document_management_dev.csv
- split: validation
path: data/official_document_management_val.csv
- split: test
path: data/official_document_management_test.csv
- config_name: financial_analysis
datafiles:
- split: train
path: data/financial_analysis_dev.csv
- split: validation
path: data/financial_analysis_val.csv
- split: test
path: data/financial_analysis_test.csv
- config_name: pharmacy
datafiles:
- split: train
path: data/pharmacy_dev.csv
- split: validation
path: data/pharmacy_val.csv
- split: test
path: data/pharmacy_test.csv
- config_name: educational_psychology
datafiles:
- split: train
path: data/educational_psychology_dev.csv
- split: validation
path: data/educational_psychology_val.csv
- split: test
path: data/educational_psychology_test.csv
- config_name: statistics_and_machine_learning
datafiles:
- split: train
path: data/statistics_and_machine_learning_dev.csv
- split: validation
path: data/statistics_and_machine_learning_val.csv
- split: test
path: data/statistics_and_machine_learning_test.csv
- config_name: management_accounting
datafiles:
- split: train
path: data/management_accounting_dev.csv
- split: validation
path: data/management_accounting_val.csv
- split: test
path: data/management_accounting_test.csv
- config_name: introduction_to_law
datafiles:
- split: train
path: data/introduction_to_law_dev.csv
- split: validation
path: data/introduction_to_law_val.csv
- split: test
path: data/introduction_to_law_test.csv
- config_name: computer_science
datafiles:
- split: train
path: data/computer_science_dev.csv
- split: validation
path: data/computer_science_val.csv
- split: test
path: data/computer_science_test.csv
- config_name: veterinary_pathology
datafiles:
- split: train
path: data/veterinary_pathology_dev.csv
- split: validation
path: data/veterinary_pathology_val.csv
- split: test
path: data/veterinary_pathology_test.csv
- config_name: accounting
datafiles:
- split: train
path: data/accounting_dev.csv
- split: validation
path: data/accounting_val.csv
- split: test
path: data/accounting_test.csv
- config_name: fire_science
datafiles:
- split: train
path: data/fire_science_dev.csv
- split: validation
path: data/fire_science_val.csv
- split: test
path: data/fire_science_test.csv
- config_name: optometry
datafiles:
- split: train
path: data/optometry_dev.csv
- split: validation
path: data/optometry_val.csv
- split: test
path: data/optometry_test.csv
- config_name: insurance_studies
datafiles:
- split: train
path: data/insurance_studies_dev.csv
- split: validation
path: data/insurance_studies_val.csv
- split: test
path: data/insurance_studies_test.csv
- config_name: pharmacology
datafiles:
- split: train
path: data/pharmacology_dev.csv
- split: validation
path: data/pharmacology_val.csv
- split: test
path: data/pharmacology_test.csv
- config_name: taxation
datafiles:
- split: train
path: data/taxation_dev.csv
- split: validation
path: data/taxation_val.csv
- split: test
path: data/taxation_test.csv
- config_name: trust_practice
datafiles:
- split: train
path: data/trust_practice_dev.csv
- split: validation
path: data/trust_practice_val.csv
- split: test
path: data/trust_practice_test.csv
- config_name: geography_of_taiwan
datafiles:
- split: train
path: data/geography_of_taiwan_dev.csv
- split: validation
path: data/geography_of_taiwan_val.csv
- split: test
path: data/geography_of_taiwan_test.csv
- config_name: physical_education
datafiles:
- split: train
path: data/physical_education_dev.csv
- split: validation
path: data/physical_education_val.csv
- split: test
path: data/physical_education_test.csv
- config_name: auditing
datafiles:
- split: train
path: data/auditing_dev.csv
- split: validation
path: data/auditing_val.csv
- split: test
path: data/auditing_test.csv
- config_name: administrative_law
datafiles:
- split: train
path: data/administrative_law_dev.csv
- split: validation
path: data/administrative_law_val.csv
- split: test
path: data/administrative_law_test.csv
- config_name: education_(profession_level)
datafiles:
- split: train
path: data/education_(profession_level)_dev.csv
- split: validation
path: data/education_(profession_level)_val.csv
- split: test
path: data/education_(profession_level)_test.csv
- config_name: economics
datafiles:
- split: train
path: data/economics_dev.csv
- split: validation
path: data/economics_val.csv
- split: test
path: data/economics_test.csv
- config_name: veterinary_pharmacology
datafiles:
- split: train
path: data/veterinary_pharmacology_dev.csv
- split: validation
path: data/veterinary_pharmacology_val.csv
- split: test
path: data/veterinary_pharmacology_test.csv
- config_name: nautical_science
datafiles:
- split: train
path: data/nautical_science_dev.csv
- split: validation
path: data/nautical_science_val.csv
- split: test
path: data/nautical_science_test.csv
- config_name: occupational_therapy_for_psychological_disorders
datafiles:
- split: train
path: data/occupational_therapy_for_psychological_disorders_dev.csv
- split: validation
path: data/occupational_therapy_for_psychological_disorders_val.csv
- split: test
path: data/occupational_therapy_for_psychological_disorders_test.csv
- config_name: basic_medical_science
datafiles:
- split: train
path: data/basic_medical_science_dev.csv
- split: validation
path: data/basic_medical_science_val.csv
- split: test
path: data/basic_medical_science_test.csv
- config_name: macroeconomics
datafiles:
- split: train
path: data/macroeconomics_dev.csv
- split: validation
path: data/macroeconomics_val.csv
- split: test
path: data/macroeconomics_test.csv
- config_name: trade
datafiles:
- split: train
path: data/trade_dev.csv
- split: validation
path: data/trade_val.csv
- split: test
path: data/trade_test.csv
- config_name: chinese_language_and_literature
datafiles:
- split: train
path: data/chinese_language_and_literature_dev.csv
- split: validation
path: data/chinese_language_and_literature_val.csv
- split: test
path: data/chinese_language_and_literature_test.csv
- config_name: tve_design
datafiles:
- split: train
path: data/tve_design_dev.csv
- split: validation
path: data/tve_design_val.csv
- split: test
path: data/tve_design_test.csv
- config_name: junior_science_exam
datafiles:
- split: train
path: data/junior_science_exam_dev.csv
- split: validation
path: data/junior_science_exam_val.csv
- split: test
path: data/junior_science_exam_test.csv
- config_name: junior_math_exam
datafiles:
- split: train
path: data/junior_math_exam_dev.csv
- split: validation
path: data/junior_math_exam_val.csv
- split: test
path: data/junior_math_exam_test.csv
- config_name: junior_chinese_exam
datafiles:
- split: train
path: data/junior_chinese_exam_dev.csv
- split: validation
path: data/junior_chinese_exam_val.csv
- split: test
path: data/junior_chinese_exam_test.csv
- config_name: junior_social_studies
datafiles:
- split: train
path: data/junior_social_studies_dev.csv
- split: validation
path: data/junior_social_studies_val.csv
- split: test
path: data/junior_social_studies_test.csv
- config_name: tve_mathematics
datafiles:
- split: train
path: data/tve_mathematics_dev.csv
- split: validation
path: data/tve_mathematics_val.csv
- split: test
path: data/tve_mathematics_test.csv
- config_name: tve_chinese_language
datafiles:
- split: train
path: data/tve_chinese_language_dev.csv
- split: validation
path: data/tve_chinese_language_val.csv
- split: test
path: data/tve_chinese_language_test.csv
- config_name: tve_natural_sciences
datafiles:
- split: train
path: data/tve_natural_sciences_dev.csv
- split: validation
path: data/tve_natural_sciences_val.csv
- split: test
path: data/tve_natural_sciences_test.csv
- config_name: junior_chemistry
datafiles:
- split: train
path: data/junior_chemistry_dev.csv
- split: validation
path: data/junior_chemistry_val.csv
- split: test
path: data/junior_chemistry_test.csv
- config_name: music
datafiles:
- split: train
path: data/music_dev.csv
- split: validation
path: data/music_val.csv
- split: test
path: data/music_test.csv
- config_name: education
datafiles:
- split: train
path: data/education_dev.csv
- split: validation
path: data/education_val.csv
- split: test
path: data/education_test.csv
- config_name: three_principles_of_people
datafiles:
- split: train
path: data/three_principles_of_people_dev.csv
- split: validation
path: data/three_principles_of_people_val.csv
- split: test
path: data/three_principles_of_people_test.csv
- config_name: taiwanese_hokkien
datafiles:
- split: train
path: data/taiwanese_hokkien_dev.csv
- split: validation
path: data/taiwanese_hokkien_val.csv
- split: test
path: data/taiwanese_hokkien_test.csv
TMMLU+ : Large scale traditional chinese massive multitask language understanding
The TMMLU+ dataset is six times larger and contains more balanced subjects compared to its predecessor, TMMLU. We have included benchmark results in TMMLU+ from closed-source models and 20 open-weight Chinese large language models, with parameters ranging from 1.8B to 72B. The benchmark results show that Traditional Chinese variants still lag behind those trained on major Simplified Chinese models.
from datasets import load_dataset
task_list = [
'engineering_math', 'dentistry', 'traditional_chinese_medicine_clinical_medicine', 'clinical_psychology', 'technical', 'culinary_skills', 'mechanical', 'logic_reasoning', 'real_estate',
'general_principles_of_law', 'finance_banking', 'anti_money_laundering', 'ttqav2', 'marketing_management', 'business_management', 'organic_chemistry', 'advance_chemistry',
'physics', 'secondary_physics', 'human_behavior', 'national_protection', 'jce_humanities', 'politic_science', 'agriculture', 'official_document_management',
'financial_analysis', 'pharmacy', 'educational_psychology', 'statistics_and_machine_learning', 'management_accounting', 'introduction_to_law', 'computer_science', 'veterinary_pathology',
'accounting', 'fire_science', 'optometry', 'insurance_studies', 'pharmacology', 'taxation', 'trust_practice', 'geography_of_taiwan', 'physical_education', 'auditing', 'administrative_law',
'education_(profession_level)', 'economics', 'veterinary_pharmacology', 'nautical_science', 'occupational_therapy_for_psychological_disorders',
'basic_medical_science', 'macroeconomics', 'trade', 'chinese_language_and_literature', 'tve_design', 'junior_science_exam', 'junior_math_exam', 'junior_chinese_exam',
'junior_social_studies', 'tve_mathematics', 'tve_chinese_language', 'tve_natural_sciences', 'junior_chemistry', 'music', 'education', 'three_principles_of_people',
'taiwanese_hokkien'
]
for task in task_list:
val = load_dataset('ikala/tmmluplus', task)['validation']
dev = load_dataset('ikala/tmmluplus', task)['train']
test = load_dataset('ikala/tmmluplus', task)['test']
For each dataset split
for row in test:
print(row)
break
>> Dataset({
features: ['question', 'A', 'B', 'C', 'D', 'answer'],
num_rows: 11
})
Statistic on all four categories : STEM, Social Science, Humanities, Other
| Category | Test | Dev | Validation |
|---|---|---|---|
| STEM | 3458 | 70 | 385 |
| Social Sciences | 5958 | 90 | 665 |
| Humanities | 1763 | 35 | 197 |
| Other (Business, Health, Misc.) | 8939 | 135 | 995 |
| Total | 20118 | 330 | 2242 |
Benchmark on direct prompting
| model | STEM | Social Science | Humanities | Other | Average |
|---|---|---|---|---|---|
| Qwen/Qwen-72B | 61.12 | 71.65 | 63.00 | 61.31 | 64.27 |
| gpt-4-0613 | 60.36 | 67.36 | 56.03 | 57.62 | 60.34 |
| Qwen/Qwen-72B-Chat | 55.15 | 66.20 | 55.65 | 57.19 | 58.55 |
| Qwen/Qwen-14B | 46.94 | 56.69 | 49.43 | 48.81 | 50.47 |
| Gemini-pro | 45.38 | 57.29 | 48.80 | 48.21 | 49.92 |
| 01-ai/Yi-34B-Chat | 40.24 | 56.77 | 53.99 | 47.58 | 49.64 |
| Qwen/Qwen-14B-Chat | 43.86 | 53.29 | 44.78 | 45.13 | 46.77 |
| 01-ai/Yi-6B-Chat | 39.62 | 50.24 | 44.44 | 44.26 | 44.64 |
| Claude-1.3 | 42.65 | 49.33 | 42.16 | 44.14 | 44.57 |
| gpt-3.5-turbo-0613 | 41.56 | 46.72 | 36.73 | 42.03 | 41.76 |
| CausalLM/14B | 39.83 | 44.50 | 39.61 | 41.97 | 41.48 |
| Skywork/Skywork-13B-base | 36.93 | 47.27 | 41.04 | 40.10 | 41.33 |
| Qwen/Qwen-7B | 37.53 | 45.48 | 38.09 | 38.96 | 40.01 |
| Qwen/Qwen-7B-Chat | 33.32 | 44.64 | 40.27 | 39.89 | 39.53 |
| vivo-ai/BlueLM-7B-Base | 33.94 | 41.52 | 37.38 | 38.74 | 37.90 |
| baichuan-inc/Baichuan2-13B-Chat | 29.64 | 43.73 | 37.36 | 39.88 | 37.65 |
| Qwen/Qwen-1_8B | 32.65 | 38.95 | 38.34 | 35.27 | 36.30 |
| Claude-2 | 39.65 | 39.09 | 28.59 | 37.47 | 36.20 |
| THUDM/chatglm3-6b | 31.05 | 39.31 | 35.64 | 35.60 | 35.40 |
| deepseek-ai/deepseek-llm-7b-chat | 29.82 | 42.29 | 34.24 | 34.31 | 35.17 |
| CausalLM/7B | 31.03 | 38.17 | 35.87 | 35.39 | 35.11 |
| Azure99/blossom-v3_1-mistral-7b | 32.80 | 36.91 | 32.36 | 34.53 | 34.15 |
| microsoft/Orca-2-13b | 24.69 | 39.18 | 33.60 | 31.99 | 32.37 |
| Qwen/Qwen-1_8B-Chat | 26.60 | 36.36 | 31.81 | 31.96 | 31.68 |
| TigerResearch/tigerbot-13b-chat-v3 | 24.73 | 29.63 | 25.72 | 27.22 | 26.82 |
| hongyin/mistral-7b-80k | 24.26 | 23.76 | 22.56 | 24.57 | 23.79 |
| deepseek-ai/deepseek-llm-67b-chat | 19.10 | 26.06 | 21.51 | 21.77 | 22.11 |
| yentinglin/Taiwan-LLM-13B-v2.0-chat | 18.53 | 27.65 | 17.77 | 21.49 | 21.36 |
| GeneZC/MiniChat-3B | 17.66 | 23.35 | 22.71 | 20.34 | 21.02 |
| LinkSoul/Chinese-Llama-2-7b | 16.55 | 18.39 | 12.97 | 16.13 | 16.01 |
| yentinglin/Taiwan-LLM-7B-v2.1-chat | 14.99 | 16.23 | 15.00 | 16.22 | 15.61 |
| Claude-instant-1 | 12.52 | 17.13 | 15.10 | 13.57 | 14.58 |
| FlagAlpha/Atom-7B | 5.60 | 13.57 | 7.71 | 11.84 | 9.68 |
Results via ievals ( settings : 0-shot direct answering )
Citation
@article{ikala2023eval,
title={An Improved Traditional Chinese Evaluation Suite for Foundation Model},
author={Tam, Zhi-Rui and Pai, Ya-Ting},
journal={arXiv},
year={2023}
}